Logistic regression is a powerful technique for binary classification, which means assigning data points to one of two possible categories, such as yes or no, spam or not spam, or positive or ...

A collection of academic projects from my time at the University of Algiers 1, covering social network analysis, data visualization, formal languages, binary logistic regression, and statistical ...

This is closely related to the traditional statistical application of the method, the key difference being that in machine learning, logistic regression is used to develop a model that learns from ...

Course Topics"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count ...

Webb, M.C., Wilson, J.R. and Chong, J. (2004) An Analysis of Quasi-Complete Binary Data with Logistic Models Applications to Alcohol Abuse Data. Journal of Data Science, 2, 273-285. ... ABSTRACT: ...

Learn how to use logistic regression to classify data into two categories, what are the assumptions and limitations of this technique, and how to interpret and evaluate your results.